I think it only counts direct dependencies.
That's basically what a HTTP client does. It connects to the server (, does some TLS stuff) and sends a request like GET / HTTP/2 Host: nitter.net […other headers] This would just need to be exposed in a browser.
The PCGH article references the golem article which references the heise article.
> The above invocation will automatically download the latest version of pixi, extract it, and move the pixi binary to ~/.pixi/bin. If this directory does not already exist, the script will create it. Please don't…
On Wayland, GTK3/4 windows work well with fractional scaling (on GNOME). They are rendered at 200% and then downscaled by the compositor, which looks mostly fine. Blurryness is often caused by GTK2/old Qt5/Electron…
I think the largest of those forks is tenacity [1]. Some of the other forks were incorporated into it. [1]: https://codeberg.org/tenacityteam/tenacity/
I think you should release the Linux version as a Flatpak [1] to Flathub [2]. That way it could be install using a (graphical) software manager on many distros and it would increase the discoveribility of your program.…
Startup time in Python depends on the program because Python compiles all modules to bytecode before executing them.
I think it only counts direct dependencies.
That's basically what a HTTP client does. It connects to the server (, does some TLS stuff) and sends a request like GET / HTTP/2 Host: nitter.net […other headers] This would just need to be exposed in a browser.
The PCGH article references the golem article which references the heise article.
> The above invocation will automatically download the latest version of pixi, extract it, and move the pixi binary to ~/.pixi/bin. If this directory does not already exist, the script will create it. Please don't…
On Wayland, GTK3/4 windows work well with fractional scaling (on GNOME). They are rendered at 200% and then downscaled by the compositor, which looks mostly fine. Blurryness is often caused by GTK2/old Qt5/Electron…
I think the largest of those forks is tenacity [1]. Some of the other forks were incorporated into it. [1]: https://codeberg.org/tenacityteam/tenacity/
I think you should release the Linux version as a Flatpak [1] to Flathub [2]. That way it could be install using a (graphical) software manager on many distros and it would increase the discoveribility of your program.…
Startup time in Python depends on the program because Python compiles all modules to bytecode before executing them.